CN108073664B

CN108073664B - Information processing method, device, equipment and client equipment

Info

Publication number: CN108073664B
Application number: CN201611042822.1A
Authority: CN
Inventors: 林建素; 刘方; 闫晓丹; 刘峻溢; 黄健帮; 张晓尨
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2016-11-11
Filing date: 2016-11-11
Publication date: 2021-08-31
Anticipated expiration: 2036-11-11
Also published as: CN108073664A

Abstract

The invention relates to the field of communication, and discloses an information processing method, an information processing device, information processing equipment and client equipment, which are used for solving the technical problem that a search result provided in network search in the prior art is not accurate enough. The method comprises the following steps: searching in a preset website through a search character string to obtain basic data; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data. The technical effect of providing more accurate search results for searching keywords is achieved.

Description

Information processing method, device, equipment and client equipment

Technical Field

The present invention relates to the field of communications, and in particular, to an information processing method, apparatus, device, and client device.

Background

With the continuous development of science and technology, electronic technology has also gained rapid development, and the variety of electronic products is also more and more, and people also enjoy various conveniences brought by the development of science and technology. People can enjoy comfortable life brought along with the development of science and technology through various client devices. For example, client devices such as notebook computers, desktop computers, smart phones, and tablet computers have become an important part of people's lives.

Generally, electronic devices have a search function, and related search results can be obtained through searching in a network by using search keywords, in the prior art, various search results are often ranked by a certain rule and then provided to a user, and the technical problem that the provided search results are not accurate enough exists.

Disclosure of Invention

The invention provides an information processing method, an information processing device, information processing equipment and client equipment, and aims to solve the technical problem that a search result provided in network search in the prior art is not accurate enough.

In a first aspect, an embodiment of the present invention provides an information processing method, including: searching in a preset website through a search character string to obtain basic data; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

With reference to the first aspect, in a first possible implementation manner, the respectively determining a first type of search result that matches each of the feature data includes: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; and searching in a network through the new search keyword to obtain a first type of search result matched with each feature data.

With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner, the determining, from the basic data, at least one feature data associated with the search string includes: extracting at least one keyword which is positioned on the same page as the search character string from the basic data; determining an associated keyword of which the occurrence frequency meets a first preset condition from the at least one keyword; and taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner, the determining, from the at least one keyword, an associated keyword whose occurrence number satisfies a first preset condition includes: performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after normalization processing; and determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

With reference to the first aspect, in a fourth possible implementation manner, before the obtaining basic data by searching for the preset website through the search string, the method further includes: obtaining network questioning information from a network; judging whether the network questioning information has an answer meeting a second preset condition; and if the search string does not exist, taking the network question information as the search string, and executing the step of searching in a preset website through the search string to obtain basic data.

In a second aspect, an embodiment of the present invention provides an information processing method, including: receiving a search request containing a search character string generated by a user through a preset search interface; responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string; and displaying the second type of search result to the user as a search result item matched with the search character string.

With reference to the second aspect, in a first possible implementation manner, the determining a second type of search result that matches the search string includes: acquiring a pre-stored character string matched with the search character string in a corresponding relation table, and taking a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string; or sending the search character string to a server so that the server returns the second type of search results matched with the search character string based on the search character string; and the server acquires a pre-stored character string matched with the search character string from a corresponding relation table, and takes a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string.

With reference to the second aspect, in a second possible implementation manner, the presenting the second type of search result to the user as a search result item matched with the search string includes: dividing a display area of the second type of search results into sub-areas with the number corresponding to the feature data; and respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

With reference to the second aspect or any one of the first to second possible implementation manners of the second aspect, in a third possible implementation manner, after receiving a search request containing a search string generated by a user through a preset search interface and before responding to the search request, the method further includes: obtaining network questioning information corresponding to the search character string from a network; judging whether the network questioning information has an answer meeting a second preset condition; if not, performing the step of responding to the search request.

In a third aspect, an embodiment of the present invention provides an information processing apparatus, including: the search module is used for searching in a preset website through a search character string to obtain basic data; a first determination module for determining at least one feature data associated with the search string from the base data; the second determining module is used for respectively determining the first type of search results matched with each feature data; and the generating module is used for generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

With reference to the third aspect, in a first possible implementation manner, the second determining module is configured to: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; and searching in a network through the new search keyword to obtain a first type of search result matched with each feature data.

With reference to the first possible implementation manner of the third aspect, in a second possible implementation manner, the first determining module includes: the extraction unit is used for extracting at least one keyword which is positioned on the same page as the search character string from the basic data; a first determining unit, configured to determine, from the at least one keyword, an associated keyword whose occurrence number satisfies a first preset condition; and the second determining unit is used for taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

With reference to the second possible implementation manner of the third aspect, in a third possible implementation manner, the first determining unit includes: the normalizing subunit is used for performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after the normalization processing; and the determining subunit is used for determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

With reference to the third aspect, in a fourth possible implementation manner, the apparatus further includes: the first obtaining module is used for obtaining the network questioning information from the network; the first judgment module is used for judging whether the network question information has an answer meeting a second preset condition; if the judgment result of the first judgment module is negative, the network question information is used as the search character string, and the step of searching for basic data in a preset website through the search character string is executed through the search module.

In a fourth aspect, an embodiment of the present invention provides an information processing apparatus, including: the receiving module is used for receiving a search request which is generated by a user through a preset search interface and contains a search character string; a response module, configured to determine, in response to the search request, a second type of search result that matches the search string, where the second type of search result includes: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string; and the display module is used for displaying the second type of search results to the user as search result items matched with the search character strings.

With reference to the fourth aspect, in a first possible implementation manner, the response module is configured to: acquiring a pre-stored character string matched with the search character string in a corresponding relation table, and taking a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string; or sending the search character string to a server so that the server returns the second type of search results matched with the search character string based on the search character string; and the server acquires a pre-stored character string matched with the search character string from a corresponding relation table, and takes a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string.

With reference to the first possible implementation manner of the fourth aspect, in a second possible implementation manner, the display module includes: the dividing unit is used for dividing the display area of the second type of search results into sub-areas with the number corresponding to the characteristic data; and the display unit is used for respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

With reference to the fourth aspect or any one of the first to second possible implementation manners of the fourth aspect, in a third possible implementation manner, the apparatus further includes: the second obtaining module is used for obtaining the network questioning information corresponding to the search character string from the network; the second judgment module is used for judging whether the answer meeting a second preset condition exists in the network question information or not; and if the judgment result of the second judgment module is negative, executing the step of responding to the search request through the response module.

In a fifth aspect, embodiments of the present invention provide an apparatus comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured for execution by the one or more processors to include instructions for: searching in a preset website through a search character string to obtain basic data; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

With reference to the fifth aspect, in a first possible implementation manner, the apparatus is further configured to execute the one or more programs by the one or more processors includes instructions for: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; and searching in a network through the new search keyword to obtain a first type of search result matched with each feature data.

With reference to the first possible implementation manner of the fifth aspect, in a second possible implementation manner, the apparatus is further configured to execute, by the one or more processors, the one or more programs including instructions for: extracting at least one keyword which is positioned on the same page as the search character string from the basic data; determining an associated keyword of which the occurrence frequency meets a first preset condition from the at least one keyword; and taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

With reference to the second possible implementation manner of the fifth aspect, in a third possible implementation manner, the apparatus is further configured to execute, by the one or more processors, the one or more programs including instructions for: performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after normalization processing; and determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

With reference to the fifth aspect, in a fourth possible implementation, the apparatus is further configured to execute the one or more programs by the one or more processors including instructions for: obtaining network questioning information from a network; judging whether the network questioning information has an answer meeting a second preset condition; and if the search string does not exist, taking the network question information as the search string, and executing the step of searching in a preset website through the search string to obtain basic data.

In a sixth aspect, embodiments of the present invention provide a client device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured for execution by the one or more processors to include instructions for: receiving a search request containing a search character string generated by a user through a preset search interface; responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string; and displaying the second type of search result to the user as a search result item matched with the search character string.

With reference to the sixth aspect, in a first possible implementation manner, the client device is further configured to execute the one or more programs by the one or more processors including instructions for: acquiring a pre-stored search character string matched with the search character string from a corresponding relation table, and taking a search result corresponding to the matched pre-stored search character string as a second type of search result matched with the search character string; or sending the search character string to a server so that the server returns the second type of search results matched with the search character string based on the search character string; and the server acquires a pre-stored character string matched with the search character string from a corresponding relation table, and takes a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string.

With reference to the sixth aspect, in a second possible implementation manner, the client device is further configured to execute the one or more programs by the one or more processors including instructions for: dividing a display area of the second type of search results into sub-areas with the number corresponding to the feature data; and respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

With reference to the sixth aspect or any one of the first to second possible implementations of the sixth aspect, in a third possible implementation, the client device is further configured to execute, by the one or more processors, the one or more programs including instructions for: obtaining network questioning information corresponding to the search character string from a network; judging whether the network questioning information has an answer meeting a second preset condition; if not, performing the step of responding to the search request.

The invention has the following beneficial effects:

in the embodiment of the invention, when network searching is carried out, basic data can be obtained by searching the preset website through the search character string; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data. That is, in providing search results searched through a search string, provided is a search result for each type of feature data in at least one feature data of the corresponding search string, which distinguishes the respective search results based on the feature data, thus providing more accurate search results for the search keyword.

Drawings

FIG. 1 shows a flow chart of an information processing method of a first aspect of an embodiment of the invention;

FIG. 2 shows a flow chart of an information processing method of a second aspect of an embodiment of the invention;

FIG. 3 is a diagram showing the construction of an information processing apparatus of a third aspect of the embodiment of the present invention;

FIG. 4 is a block diagram showing an information processing apparatus of a fourth aspect of the embodiment of the present invention;

FIG. 5 is a diagram showing a structure of a client apparatus that implements an information processing method in an embodiment of the present invention;

fig. 6 is a diagram showing a structure of a server that implements the information processing method in the embodiment of the present invention.

Detailed Description

In order to solve the technical problems, the general idea of the embodiment of the present application is as follows:

when network searching is carried out, basic data can be obtained by searching a preset website through a search character string; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data. That is, in providing search results searched through a search string, provided is a search result for each type of feature data in at least one feature data of the corresponding search string, which distinguishes the respective search results based on the feature data, thus providing more accurate search results for the search keyword.

In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.

In a first aspect, an embodiment of the present invention provides an information processing method, please refer to fig. 1, including:

step S101: searching in a preset website through a search character string to obtain basic data;

step S102: determining at least one feature data associated with the search string from the base data;

step S103: respectively determining a first type of search result matched with each feature data;

step S104: and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

For example, the scheme may be applied to a client device, such as: a mobile phone, a tablet Computer, a notebook Computer, a PC (Personal Computer), etc., in which case the search string may be a user-entered search string received by the client device; the scheme may also be applied to a server, in which case, the search string may be a search string sent by a client device, or a search string collected and sorted by the server itself, and the embodiment of the present invention is not limited.

In step S101, the search string is, for example: people in which position on the bus get off early, what the cat wants, how to practice on the waistline, and the like. The search string may be any string used for searching, and as an optional embodiment, the search string may be web question content, which may be set manually or obtained in the following manner: obtaining network questioning information from a network; judging whether the network questioning information has an answer meeting a second preset condition; and if the search string does not exist, taking the network question information as the search string, and executing the step of searching in a preset website through the search string to obtain basic data.

For example, if there may be many pieces of network quiz information generated by the user in the network, the user may go to the network quiz website to obtain the network quiz information, and then determine, from the network quiz information, that there is no network quiz content meeting the second preset condition, as the search string used in the subsequent step. The answer satisfying the second preset condition is, for example: answers accepted, answers complied by more than a preset number (e.g., 10, 20, etc.) of users, etc. If no answer satisfying the second preset condition exists for a certain network questioning information, it is indicated that no answer satisfying most people exists for the network questioning information, in this case, if the network questioning information is used as the search character string, the satisfactory answer can be provided for the network questioning information based on the subsequent operation.

The preset websites may be all websites specified when searching by a search engine, or websites with high quality of some articles, for example: knowing, asking, etc., and then mining the websites through the search character string to obtain basic data.

Further, the embodiment of the present application may further include: before step S101, receiving a search character string input by a user, and acquiring network question information corresponding to the search character string from a network; and judging whether the network question information has an answer meeting a second preset condition, and if not, executing the step S101. Based on this, when the network question information corresponding to the search string input by the user does not have an answer satisfying the second preset condition, it is indicated that the possibility that a search result satisfying the user exists in the network is low, and at this time, the method described in the embodiment of the present application may be adopted to provide a satisfactory search result for the user.

In step S102, at least one feature data associated with the search string may be determined in various ways, and two of them are listed below for description, which is not limited to the following two cases in the specific implementation process.

First, the determining at least one feature data associated with the search string from the base data includes: extracting at least one keyword which is positioned on the same page as the search character string from the basic data; determining an associated keyword of which the occurrence frequency meets a first preset condition from the at least one keyword; and taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

For example, the search string is often associated with some other keywords, and then the keywords associated with the keywords may be extracted, and then the keywords whose occurrence times satisfy a first preset condition are obtained from the keywords associated with the keywords, for example: keywords with occurrence times greater than a preset number of times (e.g., 20, 30, etc.), keywords with occurrence times sorted in the top preset position (e.g., 3, 5, etc.), and so on.

These associated keywords may be a variety of keywords, such as: for the keyword corresponding to the determination mode of the problem corresponding to the search character string, assuming that the search character string is "which position on the bus people will get off early", there may be a plurality of determination modes, for example: time windows, body languages, position strategies, etc., these judgment modes can be used as characteristic data respectively; secondly, the application environment of the search character string is assumed as 'what the cat wants' and various application environments exist, such as sleeping, staying, staring at fish in a fish tank and the like, and the application environments can be used as characteristic data and the like; the implementation of the problem corresponding to the search string, assuming that the search string is "how to practice the manicure line", may include: a deep squat with bare hands, a forward leaning upright support with single feet, a deep squat with bare hands, etc., these implementations may be taken as their corresponding characteristic data.

In a specific implementation process, the associated keyword of which the occurrence frequency meets the first preset condition can be directly obtained from the extracted at least one keyword. As an alternative embodiment, the determining, from the at least one keyword, an associated keyword whose occurrence number satisfies a first preset condition includes: performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after normalization processing; and determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

For example, for at least one keyword extracted from the basic data, the similarity values of the keywords may be calculated two by two, and if the similarity values are greater than a preset value, the similarity values may be normalized, that is, they are represented by one keyword, for example: the similarity values of the keywords such as sleeping, sleepiness and sleeping are often high, so that the keywords can be normalized to be sleeping, the similarity values of the keywords such as exercising, body building and body beautifying are also often high, so that the keywords can be normalized to be body building, and the like, and after normalization processing is performed on the keywords, the associated keywords meeting a first preset condition are extracted from the keywords. Based on the scheme, for the keywords with the same semantics, the occurrence frequency of each keyword may not meet the first preset condition, but after normalization processing is performed on the keywords with the same semantics, the obtained normalized occurrence frequency of the keywords may meet the first preset condition, and then the normalized keywords can be extracted as feature data, so that the extracted feature data is more accurate.

Through the scheme, at least one characteristic data can be extracted from basic data obtained through searching based on the search keyword, and finally the second type of search results obtained through the at least one characteristic data are provided for the user, so that more accurate search results are provided based on the search keyword.

Secondly, the determining at least one feature data associated with the search string from the basic data includes: extracting sentences in which the search character strings are located from basic data; extracting at least one keyword included in a sentence in which the search character string is located; and determining the associated keywords with the occurrence times larger than the preset times (such as 20, 30 and the like) or the occurrence times in the top preset positions (such as 3, 5 and the like) as the characteristic data of the search string from the extracted at least one keyword.

Thirdly, the determining at least one feature data associated with the search string from the basic data includes: and summarizing page contents contained in the basic data to obtain the characteristic data. For example, it is assumed that the search string is "a person at which position on a bus gets off the bus early", where a plurality of pieces of basic data refer to what physical actions the user generates, and the user is characterized to get off the bus soon, so that the characteristic data can be determined to include: body language; as another example, assume that the search character is: "how to practice on the waistline", wherein various abdominal exercises (for example, rolling abdomen, sit-up, etc.) are extracted from a plurality of page contents, and then it can be determined that the corresponding feature data includes: abdominal exercises, etc. In this scheme, the feature data is not necessarily included in the basic data, but can be summarized based on the basic data, so that the determined basic data is more accurate. This method can be used in combination with the first method of obtaining the base data in order to obtain more accurate and comprehensive base data.

In step S103, the first search result corresponding to the feature data includes, for example: one or more of the search results such as characters, web pages, pictures, videos and the like can also provide shopping links and the like of related shopping websites of the feature data if the feature data is the commodity.

In step S103, the first type search result matching each of the feature data may be determined in various ways, and two of the first type search results are listed below for description, which is of course not limited to the following two cases in the specific implementation process.

First, the respectively determining a first type of search result matching each of the feature data includes: and determining a first type of search result corresponding to the characteristic data based on the basic data of each characteristic data.

For example, suppose that the search string is "which position of the bus people get off early", and its characteristic data includes: the time window, the body language and the position strategy can acquire basic data corresponding to the time window, basic data corresponding to the body language and basic data corresponding to the position strategy from the basic data, and then the basic data are directly integrated to be used as a second type of search results obtained through searching the character string. If the basic data corresponding to a certain type of feature data is more, only part of the basic data of the feature data may be selected (for example, 2 or 4 pieces of basic data are displayed), and if the user selects the feature data, other basic data under the feature data may be displayed. Or, for the basic data corresponding to each type of feature data, the key content in the basic data can be extracted, and the key content is used as the first type of search result corresponding to the feature data.

According to the scheme, after the feature data corresponding to the search character string is determined, re-searching based on the feature data is not needed, so that the technical effect of improving the efficiency of obtaining the first-class search result is achieved.

Secondly, the respectively determining the first type of search result matching with each feature data comprises: respectively combining the search character string and each feature data into a new search keyword; and searching in a network through the new search keyword to obtain a first type of search result matched with each feature data.

For example, assume that the search string is "what cat wants", and its characteristic data includes: when the fish in the fish tank is in sleep, is in slow-release state and stares at the fish, the search keyword can be determined according to the characteristic data 'sleep' to include: the cat sleeps and wants to see what, and then the three keywords are searched in the network to obtain a corresponding search result as a first type of search result corresponding to characteristic data 'sleep'; the manner of obtaining the corresponding first type search result for other feature data is similar, and is not described herein again.

In step S104, when the feature data of each search string and the first type search result under the feature data are obtained, the search string may be associated with the feature data and the first type search result under the feature data, and the associated result may be used as the second type search result as a whole, for example, as shown in table 1:

TABLE 1

In the specific implementation process, the processing manner of the obtained second type of search results is different according to different devices to which the scheme is applied, and two of the obtained second type of search results are listed below for description, but of course, in the specific implementation process, the processing manner is not limited to the following two cases.

First, the method is applied to the client device, in which case, the second type of search result can also be presented to the user as a search result item, so that the user can obtain more accurate search results through the search string.

For example, if there are several feature data for the search string, the search result item in which the second type of search result is located may be divided into several display areas, and then the first type of search result corresponding to each feature data is displayed in different display areas, for example: for the search string "what cat wants", the search result item in which the second type of search result is located may be divided into three display areas, and the first type of search result corresponding to "what cat wants + sleepy", "what cat wants + stupid", "what cat wants + stare at fish in the fish tank" is displayed. For example, the search result item may be displayed in the form of a plurality of tab pages, that is, the search result item includes a plurality of tab pages, each tab page displays a first type search result corresponding to one feature data, and a user may view the first type search results corresponding to each feature data by switching the form of the tab page.

In this case, the obtaining of the search string in step S101 includes: and obtaining the search character string generated by the user of the client device through a preset search interface.

For example, the predetermined search interface is, for example: a web questioning interface, a particular search interface provided in a web search window, etc.

Secondly, the method is applied to a server, and after the second type of search result corresponding to the search character string is generated according to the first type of search result corresponding to the at least one feature data, the method further includes: and establishing a corresponding relation between each search character string and the corresponding second type of search results.

For example, as shown in table 1, each search string may be associated with its feature data, which is associated with its first type of search result, so as to establish a corresponding relationship between each search string and its second type of search result.

In this case, as an alternative embodiment, the method further includes: receiving a search request containing a search character string sent by client equipment; responding to the search request, and determining a second type of search result corresponding to the search character string from the corresponding relation; and providing the second type of search results corresponding to the search character string to the client device.

For example, assuming that a user of a client device wishes to search by a search string (e.g., what a cat wants), a search request containing the search string may first be generated to the client device; after receiving the search request, the client device can send the search request to the server, and the server obtains a corresponding second type of search result based on the search request and sends the second type of search result to the client device, so that the client device achieves the purpose of performing more accurate search through the search string.

In a second aspect, based on the same inventive concept, an embodiment of the present invention provides an information processing method, please refer to fig. 2, including:

step S201: receiving a search request containing a search character string generated by a user through a preset search interface;

step S202: responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string;

step S203: and displaying the second type of search result to the user as a search result item matched with the search character string.

For example, the scheme may be applied to a client device, such as: mobile phones, tablet computers, notebook computers, PCs (Personal computers), and the like.

In step S201, the search string may be any string, and as an alternative embodiment, the search string is the first network question information. As an optional embodiment, after the receiving a search request containing a search string generated by a user through a preset search interface and before the responding to the search request, the method further comprises: obtaining network questioning information corresponding to the search character string from a network; judging whether the network questioning information has an answer meeting a second preset condition; if not, performing the step of responding to the search request. When the answer meeting the second preset condition does not exist in the network questioning information corresponding to the search character string input by the user, the possibility that a search result satisfying the user exists in the network is low, and the method provided by the embodiment of the application can be adopted to provide the satisfactory search result for the user.

In step S202, the second type search result may be obtained in a variety of ways, and two of them are listed below for description, and of course, in the specific implementation process, the two cases are not limited to the following two cases.

First, the determining a second type of search result corresponding to the search string includes: and acquiring a pre-stored character string matched with the search character string in a corresponding relation table, and taking a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string.

For example, after obtaining the correspondence table between the search string and the second type of search result, the server may send the correspondence table to each client device, so that the client device may directly obtain the second type of search result corresponding to the search string from the local without requesting from the server, thereby achieving the technical effect of improving the efficiency of obtaining the second type of search result. The server may update the corresponding relationship on each client device at preset time intervals (e.g., 1 day, 1 week, etc.), so as to improve the accuracy of the second type search result obtained by the client device.

Secondly, the determining a second type of search result corresponding to the search string includes:

sending the search character string to a server so that the server returns the second type of search results matched with the search character string based on the search character string; and the server acquires a pre-stored character string matched with the search character string from a corresponding relation table, and takes a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string.

In step S203, if the search string only includes one type of feature data, the search string may be displayed in a display area of the search result item, and the search string may also include multiple types of feature data, in which case, the displaying the second type of search result as the search result item matched with the search string to the user includes: dividing a display area of the second type of search results into sub-areas with the number corresponding to the feature data; and respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

Through the scheme, the first type of search results can be displayed in different sub-areas based on different feature data of the first type of search results, and the user does not need to distinguish the first type of search results from the second type of search results, so that the reading efficiency of the second type of search results is improved.

Since the information processing method described in the second aspect of the embodiment of the present invention corresponds to the information processing method described in the first aspect of the embodiment of the present invention, based on the information processing method described in the first aspect of the embodiment of the present invention, a person skilled in the art can understand the specific implementation and the variation of the information processing method described in the second aspect of the embodiment of the present invention, and therefore, details are not described here again.

In a third aspect, based on the same inventive concept, an embodiment of the present invention provides an information processing apparatus, please refer to fig. 3, including:

the search module 30 is configured to search a preset website through a search string to obtain basic data;

a first determining module 31, configured to determine at least one feature data associated with the search string from the basic data;

a second determining module 32, configured to determine a first type of search result matching each of the feature data;

the generating module 33 is configured to generate a second type search result corresponding to the search string according to the first type search result corresponding to the at least one feature data.

Optionally, the second determining module 32 is configured to:

determining a first type of search result matched with each feature data based on the basic data of each feature data; alternatively, the first and second electrodes may be,

respectively combining the search character string and each feature data into a new search keyword; and searching in a network through the new search keyword to obtain a first type of search result matched with each feature data.

Optionally, the first determining module 31 includes:

the extraction unit is used for extracting at least one keyword which is positioned on the same page as the search character string from the basic data;

a first determining unit, configured to determine, from the at least one keyword, an associated keyword whose occurrence number satisfies a first preset condition;

and the second determining unit is used for taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

Optionally, the first determining unit includes:

the normalizing subunit is used for performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after the normalization processing;

and the determining subunit is used for determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

Optionally, the apparatus further comprises:

the first obtaining module is used for obtaining the network questioning information from the network;

the first judgment module is used for judging whether the network question information has an answer meeting a second preset condition;

if the judgment result of the first judgment module is negative, the network question information is used as the search character string, and the step of searching for basic data in a preset website through the search character string is executed through the search module.

Since the apparatus described in the third aspect of the present invention is an apparatus used for implementing the information processing method described in the first aspect of the present invention, based on the information processing method described in the first aspect of the present invention, a person skilled in the art can understand the specific structure and the modifications of the apparatus described in the third aspect of the present invention, and therefore details are not described here, and all apparatuses used for implementing the information processing method described in the first aspect of the present invention belong to the scope of the present invention to be protected.

In a fourth aspect, based on the same inventive concept, an embodiment of the present invention provides an information processing apparatus, please refer to fig. 4, including:

a receiving module 40, configured to receive a search request containing a search string generated by a user through a preset search interface;

a response module 41, configured to determine, in response to the search request, a second type of search result that matches the search string, where the second type of search result includes: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string;

and a presentation module 42, configured to present the second type of search result to the user as a search result item matched with the search string.

Optionally, the response module 41 is configured to:

acquiring a pre-stored search character string matched with the search character string from a corresponding relation table, and taking a search result corresponding to the matched pre-stored search character string as a second type of search result matched with the search character string; alternatively, the first and second electrodes may be,

Optionally, the display module 42 includes:

the dividing unit is used for dividing the display area of the second type of search results into sub-areas with the number corresponding to the characteristic data;

and the display unit is used for respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

Optionally, the apparatus further comprises:

the second obtaining module is used for obtaining the network questioning information corresponding to the search character string from the network;

the second judgment module is used for judging whether the answer meeting a second preset condition exists in the network question information or not;

and if the judgment result of the second judgment module is negative, executing the step of responding to the search request through the response module.

Since the apparatus described in the fourth aspect of the present invention is an apparatus used for implementing the information processing method described in the second aspect of the present invention, based on the information processing method described in the second aspect of the present invention, a person skilled in the art can understand the specific structure and the modification of the apparatus described in the fourth aspect of the present invention, and therefore will not be described herein again, and all apparatuses used for implementing the information processing method described in the second aspect of the present invention belong to the scope of the present invention.

In a fifth aspect, based on the same inventive concept, an embodiment of the present invention provides an apparatus, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for:

searching in a preset website through a search character string to obtain basic data;

determining at least one feature data associated with the search string from the base data;

respectively determining a first type of search result matched with each feature data;

and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

The device is for example a server or a client device.

Since the device described in the fifth aspect of the present invention is a device used for implementing the information processing method described in the first aspect of the present invention, based on the information processing method described in the first aspect of the present invention, a person skilled in the art can understand a specific structure and a modification of the device described in the fifth aspect of the present invention, and thus details are not described here, and all devices used for implementing the information processing method described in the first aspect of the present invention belong to the scope of the present invention.

In a sixth aspect, based on the same inventive concept, embodiments of the present invention provide a client device, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for:

receiving a search request containing a search character string generated by a user through a preset search interface;

responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string;

and displaying the second type of search result to the user as a search result item matched with the search character string.

Since the client device introduced in the sixth aspect of the present invention is a client device used for implementing the information processing method introduced in the second aspect of the present invention, based on the information processing method introduced in the second aspect of the present invention, a person skilled in the art can understand the specific structure and the modification of the client device introduced in the sixth aspect of the present invention, and therefore no further description is given here, and all the client devices used for implementing the information processing method introduced in the second aspect of the present invention belong to the scope to be protected by the present invention.

Fig. 5 is a block diagram illustrating a client device 800 of an information processing method according to an example embodiment. For example, the client device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.

Referring to fig. 5, client device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.

The processing component 802 generally controls overall operation of the client device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing elements 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operation at the device 800. Examples of such data include instructions for any application or method operating on client device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

Power components 806 provide power to the various components of client device 800. Power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for client device 800.

The multimedia component 808 includes a screen that provides an output interface between the client device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the client device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the client device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

Sensor component 814 includes one or more sensors for providing various aspects of state assessment for client device 800. For example, sensor component 814 may detect an open/closed state of device 800, the relative positioning of components, such as a display and keypad of client device 800, sensor component 814 may also detect a change in location of client device 800 or a component of client device 800, the presence or absence of user contact with client device 800, client device 800 orientation or acceleration/deceleration, and a change in temperature of client device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communications component 816 is configured to facilitate communications between client device 800 and other devices in a wired or wireless manner. The client device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the client device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the client device 800 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of a client device, enable the client device to perform an information processing method, the method comprising: searching in a preset website through a search character string to obtain basic data; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of a client device, enable the client device to perform an information processing method, the method comprising: receiving a search request containing a search character string generated by a user through a preset search interface; responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one characteristic data associated with the search string and a first type of search result corresponding to each characteristic data respectively, wherein the characteristic data are determined based on basic data obtained through search of the search string; and displaying the second type of search result to the user as a search result item matched with the search character string.

Fig. 6 is a schematic structural diagram of a server in an embodiment of the present invention. The server 1900 may vary widely by configuration or performance and may include one or more Central Processing Units (CPUs) 1922 (e.g., one or more processors) and memory 1932, one or more storage media 1930 (e.g., one or more mass storage devices) storing applications 1942 or data 1944. Memory 1932 and storage medium 1930 can be, among other things, transient or persistent storage. The program stored in the storage medium 1930 may include one or more modules (not shown), each of which may include a series of instructions operating on a server. Still further, a central processor 1922 may be provided in communication with the storage medium 1930 to execute a series of instruction operations in the storage medium 1930 on the server 1900.

The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input-output interfaces 1958, one or more keyboards 1956, and/or one or more operating systems 1941, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

A non-transitory computer-readable storage medium in which instructions, when executed by a processor of a server, enable the server to perform a method of information processing, the method comprising: searching in a preset website through a search character string to obtain basic data; determining at least one feature data associated with the search string from the base data; respectively determining a first type of search result matched with each feature data; and generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

One or more embodiments of the invention have at least the following beneficial effects:

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. An information processing method characterized by comprising:

respectively determining a first type of search result matched with each feature data, wherein the first type of search result comprises: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; searching in a network through the new search keyword to obtain a first type of search result matched with each feature data;

2. The method of claim 1, wherein said determining at least one feature data associated with said search string from said base data comprises:

extracting at least one keyword which is positioned on the same page as the search character string from the basic data;

determining an associated keyword of which the occurrence frequency meets a first preset condition from the at least one keyword;

and taking the associated keywords of which the occurrence times meet a first preset condition as the feature data.

3. The method according to claim 2, wherein the determining, from the at least one keyword, the associated keyword whose occurrence number satisfies a first preset condition comprises:

performing normalization processing on the at least one keyword based on semantic relevance to obtain the keyword after normalization processing;

and determining the associated keywords of which the occurrence times meet the first preset condition from the keywords after the normalization processing.

4. The method of claim 1, wherein before the basic data is obtained by searching a preset website through a search string, the method further comprises:

obtaining network questioning information from a network;

judging whether the network questioning information has an answer meeting a second preset condition;

and if the search string does not exist, taking the network question information as the search string, and executing the step of searching in a preset website through the search string to obtain basic data.

5. An information processing method characterized by comprising:

responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one feature data associated with the search string and the feature data are determined based on basic data obtained by searching the search string, wherein a first type of search result corresponding to each feature data is determined by the following steps: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; searching in a network through the new search keyword to obtain a first type of search result matched with each feature data;

6. The method of claim 5, wherein said determining a second type of search result that matches the search string comprises:

acquiring a pre-stored character string matched with the search character string in a corresponding relation table, and taking a search result corresponding to the matched pre-stored character string as a second type of search result matched with the search character string;

alternatively, the first and second electrodes may be,

7. The method of claim 5, wherein said presenting the second type of search results to the user as search result items that match the search string comprises:

dividing a display area of the second type of search results into sub-areas with the number corresponding to the feature data;

and respectively displaying the first type of search results corresponding to each feature data in different sub-areas of the display area.

8. The method according to any one of claims 5-7, wherein after receiving a search request containing a search string generated by a user through a preset search interface and before responding to the search request, the method further comprises:

obtaining network questioning information corresponding to the search character string from a network;

if not, performing the step of responding to the search request.

9. An information processing apparatus characterized by comprising:

the search module is used for searching in a preset website through a search character string to obtain basic data;

a first determination module for determining at least one feature data associated with the search string from the base data;

the second determining module is configured to determine the first type of search result matching each of the feature data, and includes: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; searching in a network through the new search keyword to obtain a first type of search result matched with each feature data;

and the generating module is used for generating a second type of search result corresponding to the search character string according to the first type of search result corresponding to the at least one characteristic data.

10. The apparatus of claim 9, wherein the first determining module comprises:

11. The apparatus of claim 10, wherein the first determining unit comprises:

12. The apparatus of claim 9, wherein the apparatus further comprises:

13. An information processing apparatus characterized by comprising:

the receiving module is used for receiving a search request which is generated by a user through a preset search interface and contains a search character string;

a response module, configured to determine, in response to the search request, a second type of search result that matches the search string, where the second type of search result includes: at least one feature data associated with the search string and a first type of search result corresponding to each feature data, the feature data being determined based on basic data obtained by the search through the search string, wherein the first type of search result corresponding to each feature data is determined by: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; searching in a network through the new search keyword to obtain a first type of search result matched with each feature data;

and the display module is used for displaying the second type of search results to the user as search result items matched with the search character strings.

14. The apparatus of claim 13, wherein the response module is to:

15. The apparatus of claim 13, wherein the display module comprises:

16. The apparatus of any of claims 13 to 15, further comprising:

17. An information processing apparatus comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:

18. A client device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors the one or more programs including instructions for:

responding to the search request, and determining a second type of search result matched with the search character string, wherein the second type of search result comprises: at least one feature data associated with the search string and a first type of search result corresponding to each feature data, the feature data being determined based on basic data obtained by the search through the search string, wherein the first type of search result corresponding to each feature data is determined by: determining a first type of search result matched with each feature data based on the basic data of each feature data; or respectively combining the search character string and each feature data into a new search keyword; searching in a network through the new search keyword to obtain a first type of search result matched with each feature data;

19. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the method steps of any of claims 1 to 4.

20. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the method steps of any of claims 5 to 8.